Update README.md

README.md

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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+RedPajama Dataset API
+
+A FastAPI-based Application for Exploring the RedPajama-Data-1T Dataset
+
+Overview
+
+This application provides an intuitive API to interact with the RedPajama-Data-1T dataset. Built using FastAPI, it allows users to retrieve data chunks, perform searches, and view dataset summaries with ease. Ideal for researchers and developers working on large-scale language model datasets.
+
+Features
+	1.	Retrieve Dataset Chunks
+Fetch smaller, manageable subsets of the dataset to explore or preprocess.
+	2.	Search Data
+Search for specific keywords in the dataset and retrieve relevant results.
+	3.	Dataset Summary
+Get an overview of the dataset’s structure, including available splits.
+
+Endpoints
+
+Endpoint	Method	Parameters	Description
+/	GET	None	Displays a welcome message.
+/get_data/	GET	chunk_size (int, default: 10)	Fetches a subset of the dataset.
+/search_data/	GET	keyword (str, required), max_results (int, default: 10)	Searches for entries containing the given keyword.
+/data_summary/	GET	None	Displays a summary of the dataset.
+
+Getting Started
+
+Prerequisites
+   •   Python 3.8+
+   •   Pip for dependency management
+
+Setup
+	1.	Clone the repository:
+
+git clone https://huggingface.co/spaces/Canstralian/DockerTester
+cd DockerTester
+
+
+	2.	Install dependencies:
+
+pip install -r requirements.txt
+
+
+	3.	Run the application:
+
+uvicorn app:app --host 0.0.0.0 --port 8000
+
+
+	4.	Access the API in your browser or using tools like Postman at:
+
+http://127.0.0.1:8000
+
+Example Usage
+	1.	Retrieve a Small Chunk of Data
+Fetch 5 examples from the dataset:
+
+curl "http://127.0.0.1:8000/get_data/?chunk_size=5"
+
+
+	2.	Search the Dataset
+Search for the keyword example and return up to 3 results:
+
+curl "http://127.0.0.1:8000/search_data/?keyword=example&max_results=3"
+
+
+	3.	View Dataset Summary
+Get an overview of available splits:
+
+curl "http://127.0.0.1:8000/data_summary/"
+
+Technologies Used
+   •   FastAPI: For building the API.
+   •   Hugging Face Datasets: To access and process the RedPajama-Data-1T dataset.
+   •   Uvicorn: For running the ASGI server.
+   •   Python: Backend language.
+
+Future Enhancements
+   •   Add support for advanced filtering (e.g., by metadata or specific fields).
+   •   Implement user authentication for restricted dataset access.
+   •   Add visualization endpoints for dataset insights.
+
+License
+
+This project uses the Apache 2.0 License. Refer to the LICENSE file for more details.
+
+Feel free to reach out for questions, feature requests, or contributions!